stat.anova {base} | R Documentation

## GLM Anova Statistics

### Description

This is a utility function, used in `lm` and `glm` methods for `anova(..., test != NULL)` and should not be used by the average user.

### Usage

    stat.anova(table, test = c("Chisq", "F", "Cp"), scale, df.scale, n)

### Arguments

`table` | numeric matrix as results from `anova.glm(..., test=NULL)`.
`test` | a character string, matching one of `"Chisq"`, `"F"` or `"Cp"`.
`scale` | a weighted residual sum of squares.
`df.scale` | degrees of freedom corresponding to scale.
`n` | number of observations.

### Value

A matrix which is the original `table`, augmented by a column of test statistics, depending on the `test` argument.

### References

Hastie, T. J. and Pregibon, D. (1992) Generalized linear models. Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

### See Also

`anova.lm`, `anova.glm`.

### Examples

    ##-- Continued from '?glm':

    print(ag <- anova(glm.D93))
    stat.anova(ag$table, test = "Cp",
               scale = sum(resid(glm.D93, "pearson")^2)/4, df = 4, n = 9)

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